Parameter Estimation Techniques for Photovoltaic System Modeling

被引:11
|
作者
Singla, Manish Kumar [1 ]
Gupta, Jyoti [2 ]
Nijhawan, Parag [3 ]
Singh, Parminder [4 ]
Giri, Nimay Chandra [5 ]
Hendawi, Essam [6 ]
Abu El-Sebah, Mohamed I. [7 ]
机构
[1] Chitkara Univ, Chitkara Univ Inst Engn & Technol, Dept Interdisciplinary Courses Engn, Rajpura 140401, India
[2] Shree Guru Gobind Singh Tricentenary Univ, Dept Comp Sci Engn, Gurugram 122505, India
[3] Thapar Inst Engn & Technol, Elect & Instrumentat Engn Dept, Patiala 147004, India
[4] Thapar Inst Engn & Technol, Chem Engn Dept, Patiala 147004, India
[5] Centurion Univ Technol & Management, Dept Elect & Commun Engn, Jatni 752050, India
[6] Taif Univ, Coll Engn, Dept Elect Engn, Taif 21944, Saudi Arabia
[7] Elect Res Inst, Dept Power Elect & Energy Convers, Cairo 11796, Egypt
关键词
modified one-diode model; modified two-diode model; parameter estimation; optimization; sustainable energy; statistical tests; SINGLE-DIODE; CELL; OPTIMIZATION; ALGORITHM; IDENTIFICATION;
D O I
10.3390/en16176280
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In improving PV system performance, the parameters associated with electrical photovoltaic equivalent models play a pivotal role. However, due to the increased mathematical complexities and non-linear traits of PV cells, the precise prediction of these parameters is a challenging task. To estimate the parameters associated with PV models, a reliable, robust, and accurate optimization technique is needed. This paper introduces a new algorithm, Rat Swarm Optimizer (RSO), for obtaining the optimum PV cell and module parameters. The proposed method maintains an adequate balance between the exploration and exploitation phases to overcome premature particle issues. The results obtained using RSO are compared with those of other algorithms, i.e., Particle Swarm Optimization (PSO), Ant Lion Optimizer (ALO), Salp Swarm Algorithm (SSA), Harris Hawks Optimization (HHO), and Grasshopper Optimization (GOA), in this work. The modified one-diode model (MODM) and modified two-diode model (MTDM) are used to analyze the parameters of the mono-crystalline PV cell using the suggested RSO. The obtained findings imply that the parameters estimated by the suggested RSO are more accurate than those calculated by the other algorithms taken into consideration in the paper. The statistical results are compared, and it is clear that RSO is a very accurate, fast, and dependable approach for the parameter estimation of PV cells.
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页数:16
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